Curriculum Vitae

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Education

  • Ph.D. Chemical Engineering
    Graduate emphasis in High Performance Computing
    University of California Santa Barbara
    Santa Barbara, CA, USA

  • M.Tech & B.Tech (Hons.) Chemical Engineering, Integrated Dual Degree
    Indian Institute of Technology Kharagpur
    Kharagpur, WB, India

Experiences

  • Principal Scientist
    Avidity models for multispecific antibodies, Data efficient ML for protein property predition, Neural ODE models for systems biology.
    Amgen Inc.
    South San Francisco, CA, USA

  • Senior Scientist
    In-silico degenerate codon library optimization using protein language models, FAIR-ready MLOps framework for protein property prediction.
    Amgen Inc.
    South San Francisco, CA, USA

  • Protein Design Scientist
    Computational scanning of PEG-ylation sites on peptides for half-life extension; biologics design using physics- and ML-based toolchains, and active learning.
    Novo Nordisk Research Center Seattle
    Seattle, WA, USA

  • Postdoctoral Scholar — Sali lab
    Integrative protein structure determination using chemical cross-links; Multimodal whole-cell models of pancreatic beta cells; biophysics of nanobody epitopes on pathogenic targets.
    University of California San Francisco
    San Francisco, CA, USA

  • Graduate Research — Shell lab
    Variational inference algorthims for molecular mechanics models of liquid-liquid phase separation and protein folding.
    University of California Santa Barbara
    Santa Barbara, CA, USA

Skills

Computational Chemistry & Biology

Atomistic and coarse-grained MD simulations, peptide and antibody binder design, Bayesian inference for data-driven structure determination of macromolecular complexes, effective generertion of in-silico insights from wet-lab experiments.

AI/ML

Data efficient ML models and FAIR-ready MLOps for protein property prediction, sampling from protein language models, Neural ODE models for systems biology.

ML and Molecular Modeling Tech stack

Scikit-learn, PyTorch, Lightning, TensorFlow-Probability, PyMC3, MLFlow, Hydra, Dask, Lux (Julia), Flux (Julia), OpenMM, LAMMPS, GROMACS, IMP